metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: test_sum_abs_t5_small_wasa_no_stops
results: []
test_sum_abs_t5_small_wasa_no_stops
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1499
- Rouge1: 0.3402
- Rouge2: 0.2004
- Rougel: 0.315
- Rougelsum: 0.315
- Gen Len: 18.8435
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.5696 | 1.0 | 1764 | 2.2999 | 0.3394 | 0.2011 | 0.3133 | 0.3131 | 18.6902 |
| 2.4055 | 2.0 | 3528 | 2.2091 | 0.3432 | 0.202 | 0.3174 | 0.3171 | 18.8214 |
| 2.3447 | 3.0 | 5292 | 2.1597 | 0.3463 | 0.2048 | 0.3201 | 0.3199 | 18.8339 |
| 2.3436 | 4.0 | 7056 | 2.1499 | 0.3402 | 0.2004 | 0.315 | 0.315 | 18.8435 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2